Google Cloud products, services, and solutions

A data analytics team needs to analyze petabytes of structured data using SQL queries without managing any database infrastructure. Query results must return within seconds for most queries. Which Google Cloud service is designed for this use case?

A developer wants to deploy a containerized web application without managing servers, clusters, or Kubernetes configuration. The application should automatically scale to zero when not in use and handle bursts of traffic. Which Google Cloud service is the best fit?

A retail company wants to build a recommendation engine that suggests products to customers based on their browsing history. The team has ML expertise but wants to use Google's pre-built ML infrastructure to train and deploy models at scale without managing compute resources. Which Google Cloud service should they use?

A company needs to store large volumes of unstructured data (images, videos, backups, documents) with high durability and global accessibility. Which Google Cloud service is designed for object storage at any scale?

A business intelligence team wants to create interactive dashboards and reports from their BigQuery data without writing code. They need to share reports with stakeholders who don't have GCP accounts. Which Google Cloud tool is most appropriate?

A company wants to build an application that can understand and respond to natural language queries from customers (e.g., a customer support chatbot). Which Google Cloud capability should they use?

A company needs to send messages between different microservices in a decoupled way. When one service publishes an event, multiple downstream services should receive and process it independently. Which Google Cloud service enables this publish-subscribe messaging pattern?

A global fintech company needs a database that can handle financial transactions across 50+ countries with consistent, ACID-compliant operations, SQL queries, and automatic global replication with no downtime for maintenance. Which Google Cloud database service meets all these requirements?

A team needs to process and analyze streaming data in real-time as it arrives from IoT sensors. The pipeline must apply transformations, filter events, and write results to BigQuery. Which Google Cloud service is designed for this stream processing use case?

A company wants to use pre-trained Google AI models to add vision capabilities to their application — specifically to detect objects in images and extract text from scanned documents — without training their own models. Which Google Cloud APIs provide these capabilities?

A company runs many containerized microservices that need orchestration — automatic scheduling, scaling, self-healing, and rolling updates. They want a managed service so they don't maintain the control plane themselves. Which Google Cloud service is purpose-built for this?

A development team builds a mobile app using Firebase. They need a real-time database that syncs data across all connected clients instantly (e.g., a collaborative to-do app where all users see updates in real-time). Which Firebase/Google Cloud service provides this?

A company's web application faces DDoS attacks and SQL injection attempts from the internet. They need a service that sits in front of their load balancer to block malicious traffic before it reaches their application servers. Which Google Cloud service provides this protection?

An enterprise wants employees to access internal web applications securely from any location (including remote work from home) without using a VPN. Employees should only access apps they're authorized for, based on their identity and device context. Which Google Cloud service enables this zero-trust access model?

A company runs workloads across Google Cloud and on-premises environments. They want a single management plane to deploy and manage containerized applications consistently across both environments using the same tooling and policies. Which Google Cloud product provides this unified hybrid/multi-cloud management?

A company wants to send transactional emails (receipts, password resets) and marketing emails at scale from their application. Which approach is recommended when using Google Cloud?

A data engineering team needs to orchestrate a complex data pipeline that involves multiple steps: extracting data from various sources, transforming it with Dataflow, loading it into BigQuery, and running validation jobs — all in a specific sequence with retry logic and scheduling. Which Google Cloud service manages this workflow orchestration?

A company wants its internal applications to be accessible via a custom domain name (e.g., `app.company.com`) that routes to their Google Cloud load balancer. Which Google Cloud service manages DNS records for this?

A company wants to use Google Cloud's Generative AI capabilities to build an internal assistant that can answer questions about company policies using documents stored in Google Drive. Which Google Cloud product provides pre-built infrastructure for building this type of AI application?

A company currently uses Hadoop and Spark for batch data processing on a large on-premises cluster. They want to migrate these workloads to Google Cloud with minimal rewriting of existing Spark and Hadoop jobs. Which Google Cloud service is the best fit?

A development team needs a managed relational database (MySQL or PostgreSQL) for their web application. They want automatic backups, patching, and high availability without managing a database server. Which Google Cloud service provides this?

A power utility company collects electricity meter readings from 10 million smart meters every 15 minutes — generating billions of rows of time-series data per year. They need to query this data to detect anomalies and patterns. Which Google Cloud database is optimized for this massive-scale time-series IoT data?

A developer wants to run a small piece of code that resizes images whenever a new image is uploaded to Cloud Storage. The code runs for less than a second and should only be triggered by the upload event. No always-on server is needed. Which Google Cloud service is ideal?

A development team uses Cloud Build to automatically build, test, and create container images whenever code is pushed to their repository. The resulting Docker images need to be stored securely and made available to their GKE deployment pipelines. Which Google Cloud service stores and manages these container images?

An enterprise needs advanced business intelligence capabilities: governed semantic models that business users query with natural language, embedded analytics in their customer-facing application, and centralized data access controls. Which Google Cloud analytics product is purpose-built for these enterprise BI requirements?

A healthcare organization wants to build an application that ingests FHIR-formatted patient records from multiple hospital systems, normalizes them, and makes them queryable by clinical researchers. Which Google Cloud service is purpose-built for healthcare data interoperability?

A company wants to add location-based features to their mobile app: showing nearby stores, calculating driving routes, and embedding interactive maps. Which Google Cloud platform provides these mapping and location services?

A company's PostgreSQL database has grown to 50 TB and their application requires near-zero downtime, automatic failover, and the ability to scale reads horizontally without the migration complexity of switching to Spanner. Which Google Cloud database product is specifically designed as a fully managed, highly scalable PostgreSQL-compatible database?

A global e-commerce company wants to build a product recommendation engine that suggests items to customers based on their real-time browsing behavior and purchase history. They want a pre-built solution that doesn't require building an ML recommendation model from scratch. Which Google Cloud product is purpose-built for retail recommendations?

A team uses multiple cloud services and wants to deploy all resources — VPCs, Cloud SQL databases, GKE clusters, and IAM roles — using a declarative, open-source infrastructure-as-code tool that works across multiple cloud providers. Which tool integrates natively with Google Cloud for this purpose?

A data analyst at a media company needs to run complex SQL queries on petabytes of user engagement data to produce weekly reports. The dataset is stored in Google Cloud. Which Google Cloud product is purpose-built for this type of large-scale analytical SQL workload?

A software team deploys microservices using containers and wants Google Cloud to automatically manage the scaling, self-healing, and rollout of their containerized applications. They don't want to provision or manage underlying virtual machines. Which Google Cloud service best meets this need?

A marketing team wants to create interactive dashboards and reports for business stakeholders using data stored in BigQuery, without writing code. Which Google Cloud product is most appropriate for this self-service business intelligence requirement?

A logistics company needs to send millions of shipment status updates per day from IoT tracking devices to backend systems for processing and storage. The solution must decouple the tracking devices from the backend and handle traffic spikes without losing messages. Which Google Cloud product best fits this asynchronous messaging requirement?

A healthcare provider wants to use AI to analyze unstructured medical records — scanned documents with handwritten notes and printed text — to extract diagnosis codes for billing. Which combination of Google Cloud AI products most directly addresses this document understanding use case?

A retail company needs to process financial transactions requiring strict ACID compliance, serve global customers with consistent low-latency reads and writes, and scale horizontally without downtime for maintenance. Which Google Cloud database service is uniquely designed to meet all three requirements simultaneously?

A software team wants to host their container images securely within Google Cloud and integrate with Cloud Build for CI/CD pipelines and GKE for deployments. Which Google Cloud product serves as the managed repository for storing and managing container images?

An enterprise wants to give its business intelligence team a governed analytics platform where data models are defined centrally with version-controlled semantic definitions, and all reports are guaranteed to use the same business metric definitions. Which Google Cloud product is designed for this governed BI use case?

A company wants to expose its internal backend services to external partners through a managed API layer that handles authentication, rate limiting, traffic management, and analytics — without modifying the underlying services. Which Google Cloud product is designed for this API management use case?

A media company stores video files, images, and static website assets that must be served globally with low latency. They want an object storage solution that is highly durable, accessible via standard HTTPS, and can be configured to make specific assets publicly accessible. Which Google Cloud storage product is most appropriate?

A startup needs to build a mobile application backend. They need user authentication, a real-time database that syncs to mobile clients automatically, and serverless functions for business logic — all managed with minimal backend engineering. Which Google Cloud platform provides this integrated mobile/web backend solution?

A data engineering team needs to build a pipeline that reads event data from Pub/Sub in real time, applies transformations and aggregations, and writes results to BigQuery — all without managing any infrastructure. Which Google Cloud product is designed for this serverless stream and batch data processing use case?

A company wants to create a customer-facing conversational AI assistant that understands natural language and can answer questions about its products, integrated into their website and mobile app. Which Google Cloud AI product is the most appropriate starting point?

A company needs to run containerized workloads but wants to avoid managing Kubernetes cluster infrastructure (node pools, cluster upgrades, node autoscaling) entirely. They want to simply deploy container images and have Google Cloud manage all underlying infrastructure automatically. Which Google Cloud product best fits this fully managed container execution requirement?

A DevOps team wants to automate their software build, test, and deployment process on Google Cloud. They need a service that triggers automatically when code is pushed to a repository, builds container images, runs tests, and deploys to production. Which Google Cloud product orchestrates this CI/CD pipeline?

A company wants to enable its developers to write and run code in various programming languages (Python, Node.js, Go) without provisioning or managing any servers. The code should execute in response to HTTP requests. Which Google Cloud product is designed for this serverless, function-level execution model?

A company's operations team needs visibility into network traffic patterns, latency between services, and potential network bottlenecks across their Google Cloud deployment. Which Google Cloud product provides network performance monitoring, connectivity testing, and traffic analysis?

A machine learning team wants to train, evaluate, deploy, and monitor ML models in a unified platform without managing infrastructure, and with built-in support for experiment tracking, model versioning, and A/B testing between model versions. Which Google Cloud product provides this end-to-end managed ML platform?

A startup's web application is being targeted by a denial-of-service attack that is flooding its servers with millions of fake requests per second. Which Google Cloud product provides automatic DDoS protection for the application?

A developer needs to store application secrets (database passwords, API keys, OAuth tokens) securely so that they are not hardcoded in source code or environment variables. The secrets should be automatically versioned and rotatable. Which Google Cloud product is designed for this secure secrets management requirement?

A company's analytics team wants to enable business users to create their own reports and dashboards from a governed set of BigQuery data, without writing SQL. At the same time, the data engineering team must maintain centralized control over how key metrics (like 'revenue' or 'active users') are defined. Which Google Cloud product architecture best meets both requirements?

A company is building a new application that needs to send transactional emails (order confirmations, password resets, account notifications) to customers. Google Cloud does not provide a native SMTP email service. Which approach is standard for sending transactional emails from Google Cloud applications?

A healthcare company needs to run a large batch processing job that analyzes patient records using Apache Spark, transforming data from Cloud Storage and writing results to BigQuery. The job runs once daily and requires a large cluster that should exist only during the job. Which Google Cloud product best handles this ephemeral large-batch Spark workload?

A company's DevOps team wants to orchestrate a complex workflow that involves calling multiple Google Cloud APIs in sequence — first running a Cloud Build job, then checking the results, then either deploying to Cloud Run or sending a notification. Which Google Cloud product is designed for orchestrating multi-step workflow logic?

A financial services company needs a managed data warehouse that can ingest streaming transaction data in real time AND support complex SQL analytics across years of historical data — all without managing any infrastructure. Which Google Cloud product meets both streaming ingest and analytical query requirements in a single serverless service?

A startup is building an application that sends daily promotional push notifications to millions of mobile users on both iOS and Android devices. Which Google Cloud or Google service most directly provides the infrastructure for sending these mobile push notifications?

A company wants to connect its on-premises data center to Google Cloud with a reliable, lower-latency connection that doesn't traverse the public internet, but doesn't need the bandwidth of a full Dedicated Interconnect. Which Google Cloud connectivity product is most appropriate?

A startup's website becomes unexpectedly popular and traffic spikes 50x within minutes. The application is hosted on Google Cloud. Which Google Cloud product automatically increases the number of application instances in response to this traffic spike without manual intervention?

A company runs a mission-critical PostgreSQL database on Google Cloud that must support automatic failover to a standby instance within 60 seconds if the primary instance fails, with minimal data loss. Which Cloud SQL configuration satisfies this high availability requirement?

A company wants to migrate its existing on-premises virtual machines (VMware VMs) to Google Cloud with minimal changes to the operating system and applications. Which Google Cloud product is specifically designed for migrating on-premises VMs to Google Cloud with minimal modification?